Wang‐Youn Won

14 papers receiving 1.4k citations

Wang‐Youn Won's Hit Papers

Development and Validation of a Smartphone Addiction Scale (SAS) 2013 · 1.3k citations
1.3k0+4+8Years since publication4008001.2k

Peers

Wang‐Youn Won
Comparison fields: 5 of 106
  • Applied Psychology 123
  • Sociology and Political Science 989
  • Information Systems and Management 116
  • Communication 108
  • Education 430
Replace Changtae Hahn with:
Changtae Hahn South Korea
Kadir Demirci Türkiye
Jee Hyun Ha South Korea
Anna Lucia Spear King Brazil
Gabriel Thorens Switzerland
Sam‐Wook Choi South Korea
Seung‐Yup Lee South Korea
Li‐Ren Chang Taiwan
Aslı Enez Darçın Türkiye
Éilish Duke United Kingdom
Wang‐Youn Won relative to Changtae Hahn South Korea Changtae Hahn's profile →
Citations per field
00.5×1.5×
Changtae Hahn · 1×
Citations per year

Countries citing papers authored by Wang‐Youn Won

Since Specialization
Citations

This map shows the geographic impact of Wang‐Youn Won's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Wang‐Youn Won with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wang‐Youn Won more than expected).

Fields of papers citing papers by Wang‐Youn Won

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wang‐Youn Won. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Wang‐Youn Won. The network helps show where Wang‐Youn Won may publish in the future.

Co-authors

The 25 scholars most cited alongside Wang‐Youn Won, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wang‐Youn Won Line = papers co-authored together Wang‐Youn Won links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
Development and Validation of a Smartphone Addiction Scale (SAS)
Hit paper breakdown →
20131274
2 2012103
3 201019
4 201417
5 201110
6 201110
7 20137
8 20146
9 20046
10
Agreement between Self-Report on Smoking Cessation and Urinary Cotinine Test
20105
11 20104
12 20122
13 20131
14 20131

About Wang‐Youn Won

Wang‐Youn Won is a scholar working on Pharmacology, Physiology, Endocrine and Autonomic Systems, Neurology and Psychiatry and Mental health, having authored 14 papers that have together received 1.5k indexed citations. Recurring topics across this work include Treatment of Major Depression (2 papers), Neurotransmitter Receptor Influence on Behavior (1 paper), Impact of Technology on Adolescents (1 paper), Adipokines, Inflammation, and Metabolic Diseases (1 paper), Advanced MRI Techniques and Applications (1 paper), Regulation of Appetite and Obesity (1 paper), Nerve injury and regeneration (1 paper) and Smoking Behavior and Cessation (1 paper). The work is most often cited by research in Applied Psychology (123 citations), Sociology and Political Science (989 citations), Information Systems and Management (116 citations), Communication (108 citations) and Education (430 citations). Wang‐Youn Won has collaborated with scholars based in South Korea, United States and Italy. Frequent co-authors include Dai‐Jin Kim, Jihye Choi, Xinyu Gu, Changtae Hahn, Jung‐Ah Min, Jae‐Woo Park, Min Jeong Kwon, In Kyoon Lyoo, Sujung J. Yoon and Jieun E. Kim. Their work appears in journals such as Alzheimer s & Dementia, American Journal of Psychiatry, Alcoholism Clinical and Experimental Research, Human Psychopharmacology Clinical and Experimental and Asia-Pacific Psychiatry.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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